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As a Quantitative Researcher, you will have an opportunity to solve challenging problems arising in a trading environment while utilizing statistical scientific algorithms and mathematical modelling techniques. You will work closely with traders and researchers to build and refine trading tools and strategies.
How you will make an impact:
Create practical solutions to problems presented in the trading environment
Implement Natural Language Processing / ML / Deep Learning
Time series analysis
Create long/short-term alphas
Conduct statistical analysis of market data, historical trends, and relationships across multiple asset classes
Formulate and apply mathematical modelling and quantitative methods to identify and capture trading opportunities
A master's or PhD in a technical discipline, with a focus on Statistics, Optimization, Quantitative Finance or related fields
Proficient Python programming skills with experience exploring large datasets
Strong analytical and problem-solving skills, including a solid foundation of statistics knowledge
Working knowledge of probability theory, stochastic calculus and numerical algorithms, such as finite differences, Monte Carlo simulation, etc.
Some exposure to Natural Language Processing and/or high-performance computing is a plus
Excellent written and verbal communication skills to report research results as well as methodologies
Visa sponsorship available.
Salary: up to £140k + strong bonuses
Contact If you feel you are a good match, please don't hesitate to get in touch:
George James firstname.lastname@example.org +44 7377 667533 linkedin.com/in/george-james-1b005514a/